EasyChair Preprint No 745 Active Area Coverage from Equilibrium
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[1] D. Ucinski. Optimal measurement methods for distributed parameter system identification , 2004 .
[2] Andreas Krause,et al. Safe Model-based Reinforcement Learning with Stability Guarantees , 2017, NIPS.
[3] Vijay Kumar,et al. A Multi-robot Control Policy for Information Gathering in the Presence of Unknown Hazards , 2011, ISRR.
[4] Todd D. Murphey,et al. Ergodic Exploration of Distributed Information , 2016, IEEE Transactions on Robotics.
[5] Leonid M. Fridman,et al. Stability notions and Lyapunov functions for sliding mode control systems , 2014, J. Frankl. Inst..
[6] Todd Murphey,et al. Online Feedback Control for Input-Saturated Robotic Systems on Lie Groups , 2016, Robotics: Science and Systems.
[7] Andreas Krause,et al. Virtual vs. real: Trading off simulations and physical experiments in reinforcement learning with Bayesian optimization , 2017, 2017 IEEE International Conference on Robotics and Automation (ICRA).
[8] Jan Peters,et al. Incremental online sparsification for model learning in real-time robot control , 2011, Neurocomputing.
[9] Todd D. Murphey,et al. Real-Time Area Coverage and Target Localization Using Receding-Horizon Ergodic Exploration , 2017, IEEE Transactions on Robotics.
[10] Sergey Levine,et al. Neural Network Dynamics for Model-Based Deep Reinforcement Learning with Model-Free Fine-Tuning , 2017, 2018 IEEE International Conference on Robotics and Automation (ICRA).
[11] A. Emery,et al. Optimal experiment design , 1998 .
[12] Alexei Makarenko,et al. Information based adaptive robotic exploration , 2002, IEEE/RSJ International Conference on Intelligent Robots and Systems.
[13] Gunnar Rätsch,et al. Input space versus feature space in kernel-based methods , 1999, IEEE Trans. Neural Networks.
[14] Randolf Arnold,et al. On the Sobolev distance of convex bodies , 1992 .
[15] Howie Choset,et al. Ergodic coverage in constrained environments using stochastic trajectory optimization , 2017, 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
[16] Atil Iscen,et al. Sim-to-Real: Learning Agile Locomotion For Quadruped Robots , 2018, Robotics: Science and Systems.
[17] Benjamin Recht,et al. Simple random search provides a competitive approach to reinforcement learning , 2018, ArXiv.
[18] Yen-Chen Liu,et al. Direct learning coverage control based on expectation maximization in wireless sensor and robot network , 2017, 2017 IEEE Conference on Control Technology and Applications (CCTA).
[19] Erik I. Verriest,et al. Gradient Descent Approach to Optimal Mode Scheduling in Hybrid Dynamical Systems , 2008 .
[20] René Felix Reinhart,et al. Autonomous exploration of motor skills by skill babbling , 2016, Autonomous Robots.
[21] Todd D. Murphey,et al. Decentralized Ergodic Control: Distribution-Driven Sensing and Exploration for Multiagent Systems , 2018, IEEE Robotics and Automation Letters.
[22] Christopher D. McKinnon,et al. Learning multimodal models for robot dynamics online with a mixture of Gaussian process experts , 2017, 2017 IEEE International Conference on Robotics and Automation (ICRA).
[23] Darwin G. Caldwell,et al. Robot motor skill coordination with EM-based Reinforcement Learning , 2010, 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems.